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  • × author_ss:"Beaulieu, M."
  1. Beaulieu, M.: Interaction in information searching and retrieval (2000) 0.02
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    Abstract
    The paper aims to explore the concepts of interaction and interactivity presented in different theoretical models in the fields of human-computer interaction (HCI) and information-seeking/searching behaviour, and to relate these to information retrieval (IR) research. It is suggested that interaction in HCI is primarily concerned with establishing a user/system dialogue at the user interface and does not address the interactive characteristics of IR operational tasks. A distinction is made between general informationseeking models and information-searching models for computerised systems. The former are deemed to provide a useful framework for characterising interaction at the task level, with the structural relationship between tasks as well as the dynamic transition from one task to another being key features of the interactive process. Although the latter are all concerned with how searchers interact with IR systems, each of the models examined represents user interaction at different levels of abstraction. Taken together they provide complementary views of a highly dynamic process. Three principal aspects of interaction are identified and discussed: interaction within and across tasks; the notion of interaction as task sharing; and interaction as a discourse. In conclusion the adoption of an interaction paradigm for IR research is advocated and examples of empirical work for supporting interactive searching and retrieval are provided.
  2. Beaulieu, M.; Robertson, S.; Rasmussen, E.: Evaluating interactive systems in TREC (1996) 0.02
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    Abstract
    The TREC experiments were designed to allow large-scale laboratory testing of information retrieval techniques. As the experiments have progressed, groups within TREC have become increasingly interested in finding ways to allow user interaction without invalidating the experimental design. The development of an 'interactive track' within TREC to accomodate user interaction has required some modifications in the way the retrieval task is designed. In particular there is a need to simulate a realistic interactive searching task within a laboratory environment. Through successive interactive studies in TREC, the Okapi team at City University London has identified methodological issues relevant to this process. A diagnostic experiment was conducted as a follow-up to TREC searches which attempted to isolate the human nad automatic contributions to query formulation and retrieval performance
  3. Beaulieu, M.; Jones, S.: Interactive searching and interface issues in the Okapi best match probabilistic retrieval system (1998) 0.02
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  4. Petrelli, D.; Beaulieu, M.; Sanderson, M.; Demetriou, G.; Herring, P.; Hansen, P.: Observing users, designing clarity : a case study an the user-centered design of a cross-language information retrieval system (2004) 0.01
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    Abstract
    This report presents a case study of the development of an interface for a novel and complex form of document retrieval: searching for texts written in foreign languages based on native language queries. Although the underlying technology for achieving such a search is relatively weIl understood, the appropriate interface design is not. A study involving users from the beginning of the design process is described, and it covers initial examination of user needs and tasks, preliminary design and testing of interface components, building, testing, and refining the interface, and, finally, conducting usability tests of the system. Lessons are learned at every stage of the process, leading to a much more informed view of how such an interface should be built.
  5. Petrelli, D.; Levin, S.; Beaulieu, M.; Sanderson, M.: Which user interaction for cross-language information retrieval? : design issues and reflections (2006) 0.01
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    Abstract
    A novel and complex form of information access is cross-language information retrieval: searching for texts written in foreign languages based on native language queries. Although the underlying technology for achieving such a search is relatively well understood, the appropriate interface design is not. The authors present three user evaluations undertaken during the iterative design of Clarity, a cross-language retrieval system for lowdensity languages, and shows how the user-interaction design evolved depending on the results of usability tests. The first test was instrumental to identify weaknesses in both functionalities and interface; the second was run to determine if query translation should be shown or not; the final was a global assessment and focused on user satisfaction criteria. Lessons were learned at every stage of the process leading to a much more informed view of what a cross-language retrieval system should offer to users.